{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'privacy'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mc:\\WORK\\GIT\\cpy1\\responsible-ai-privacy\\responsible-ai-privacy\\src\\privacy\\service\\service.ipynb Cell 1\u001b[0m line \u001b[0;36m6\n\u001b[0;32m 2\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mre\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mpresidio_anonymizer\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mentities\u001b[39;00m \u001b[39mimport\u001b[39;00m (RecognizerResult,\n\u001b[0;32m 4\u001b[0m OperatorResult,\n\u001b[0;32m 5\u001b[0m OperatorConfig)\n\u001b[1;32m----> 6\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mservice\u001b[39;00m \u001b[39mimport\u001b[39;00m PrivacyService\n",
"File \u001b[1;32mc:\\WORK\\GIT\\cpy1\\responsible-ai-privacy\\responsible-ai-privacy\\src\\privacy\\service\\service.py:13\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mrequests\u001b[39;00m\n\u001b[0;32m 12\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n\u001b[1;32m---> 13\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mprivacy\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mservice\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39measy\u001b[39;00m \u001b[39mimport\u001b[39;00m EasyOCR\n\u001b[0;32m 14\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mprivacy\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mdao\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mTelemetryFlagDb\u001b[39;00m \u001b[39mimport\u001b[39;00m TelemetryFlag\n\u001b[0;32m 15\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mprivacy\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmappers\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmappers\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n",
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'privacy'"
]
}
],
"source": [
"import numpy as np\n",
"import re\n",
"from presidio_anonymizer.entities import (RecognizerResult,\n",
" OperatorResult,\n",
" OperatorConfig)\n",
"from service import PrivacyService"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"from presidio_anonymizer import AnonymizerEngine\n",
"\n",
"# Initialize the anonymizer engine\n",
"anonymizer = AnonymizerEngine()\n",
"\n",
"# Define the text containing PII\n",
"text = \"My email is john.doe@example.com\"\n",
"\n",
"# Apply differential privacy to the PII value\n",
"epsilon = 0.1 # Privacy parameter for differential privacy\n",
"sensitivity = 1 # Sensitivity of the PII value\n",
"delta = 1e-6 # Privacy parameter for differential privacy\n",
"\n",
"# Calculate the noise to be added\n",
"scale = sensitivity / epsilon\n",
"laplace_noise = np.random.laplace(loc=0, scale=scale)\n",
"\n",
"# Add the noise to the PII value\n",
"noisy_value = 1234567890 + laplace_noise\n",
"results = PrivacyService.__analyze(text=text)\n",
"# Anonymize the noisy value using Presidio\n",
"anonymized_text = anonymizer.anonymize(\n",
" text,\n",
" analyzer_results=results,\n",
" operators=\n",
" {\"Email\": OperatorConfig({\"type\": \"replace\", \"value\": str(noisy_value)})}\n",
" ,\n",
")\n",
"\n",
"# Print the anonymized text\n",
"print(anonymized_text)"
]
}
],
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